Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)

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Accession:3682
Neuron and C program files from Archie, K.A. and Mel, B.W. A model of intradendritic computation of binocular disparity. Nature Neuroscience 3:54-63, 2000 The original files for this model are located at the web site http://www-lnc.usc.edu/~karchie/synmap
Reference:
1 . Archie KA, Mel BW (2000) A model for intradendritic computation of binocular disparity. Nat Neurosci 3:54-63 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I Na,t; I K;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Spatio-temporal Activity Patterns; Active Dendrites; Vision;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]; Archie, Kevin A [karchie at lnc.usc.edu];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; AMPA; I Na,t; I K;
> but then i am stuck at the file chooser prompt which is asking
> for a data file with a ".in" suffix. I presume this is created by
> an .snm file.

I'm attaching two .in files, one for optimally oriented gratings at
assorted phases (I think that fig. 7 was the first line of
grat_0_0.75_all.in), and one for cross-oriented gratings.  I'm also
attaching the input resistances (.Rin) file for geom.hoc.

I'm a little concerned about (though not firmly opposed to) making this
particular set of models widely available, mostly because I've got a much
better system now.  The new system (http://lnc.usc.edu/snv) is documented
(more or less), much more powerful (handles time-varying inputs, multiple
sets of synapses, etc.), and I'm actively using and maintaining it.  The
old system isn't really any easier to use, and I haven't used it for over
two years so I don't remember how it works and don't want to have to
support it.

There are two downsides to the new system: (1) we haven't finished any
papers using it yet, and (2) right now it will only work under UNIX.

I understand the appeal to allowing users to run simulations that have
already appeared in papers.  But I'm much more willing to help people get
their own new simulations running using SNV.  (Then again, I'm in
something of a hurry to finish my dissertation, so promises of support
from me are probably worthless just now.)

  - Kevin

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